{
  "abstract": "This article develops a compartmental mathematical model to investigate the impact of excessive social media use on the academic performance of higher education students. Students who are heavily subscribed are classified ‘infected or addicted’ individuals. Their influence on the other naive non-subscribers leading them to become one and by self-curiosity are defined as direct and indirect transmission routes, respectively. The model incorporates two primary control interventions: early awareness programs and continuous regulation of accessibility. Qualitative and numerical analyses of the model dynamics are thus carried out investigating the effectiveness and the benefits of these control measures. The results suggest that a combined strategy, implementing both control interventions at optimal efficacy levels, significantly reduces the ‘addiction’ rate, thereby fostering a healthier academic environment and promising a prospective academic performance from the students.",
  "abstract_shown": true,
  "affiliations": [
    "Department of Mathematics and Applied Mathematics, University of the Free State, QwaQwa Campus, Phuthaditjhaba, South Africa",
    "Centre Universitaire Polytechnique de Kaya, Université Joseph KI-Zerbo, Laboratoire de Mathématiques et Informatique, Ouagadougou, Burkina Faso",
    "Department of Physics, University of the Free State, QwaQwa Campus, Phuthaditjhaba, South Africa",
    "Department of Mathematical Sciences, University of Zululand, KwaDlangezwa, South Africa"
  ],
  "article_type": "Research Article",
  "arxiv": null,
  "author_total": 5,
  "authors": [
    {
      "affs": [
        0
      ],
      "name": "Komi Afassinou"
    },
    {
      "affs": [
        1
      ],
      "name": "Narcisse Roland Loufouma Makala"
    },
    {
      "affs": [
        2
      ],
      "name": "Ousmane Koutou"
    },
    {
      "affs": [
        3
      ],
      "name": "Richard O. Ocaya"
    },
    {
      "name": "Maba Boniface Matadi"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/6s33h1a4k3n2x.bib",
  "cited_by": 0,
  "doi": "10.1371/journal.pone.0359301",
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  "id": "6s33h1a4k3n2x",
  "issns": [
    "1932-6203"
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  "landing_url": "https://doi.org/10.1371/journal.pone.0359301",
  "language": null,
  "licence": "CC-BY-4.0",
  "licence_label": "CC BY 4.0",
  "licence_source": "journal",
  "licence_url": "https://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "openalex",
      "3312|Impact of Technology on Adolescents"
    ],
    [
      "plos",
      "/Biology and life sciences/Neuroscience/Cognitive science/Cognitive psychology/Academic skills"
    ],
    [
      "plos",
      "/Biology and life sciences/Neuroscience/Cognitive science/Cognitive psychology/Learning/Human learning"
    ],
    [
      "plos",
      "/Biology and life sciences/Neuroscience/Learning and memory/Learning/Human learning"
    ],
    [
      "plos",
      "/Biology and life sciences/Psychology/Addiction"
    ],
    [
      "plos",
      "/Biology and life sciences/Psychology/Addiction/Internet addiction"
    ],
    [
      "plos",
      "/Biology and life sciences/Psychology/Behavior/Habits"
    ],
    [
      "plos",
      "/Biology and life sciences/Psychology/Cognitive psychology/Academic skills"
    ],
    [
      "plos",
      "/Biology and life sciences/Psychology/Cognitive psychology/Learning/Human learning"
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    [
      "plos",
      "/Computer and information sciences/Network analysis/Social networks/Social media"
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    [
      "plos",
      "/Physical sciences/Mathematics/Algebra/Linear algebra/Eigenvalues"
    ],
    [
      "plos",
      "/Research and analysis methods/Mathematical and statistical techniques/Mathematical models"
    ],
    [
      "plos",
      "/Social sciences/Psychology/Addiction"
    ],
    [
      "plos",
      "/Social sciences/Psychology/Addiction/Internet addiction"
    ],
    [
      "plos",
      "/Social sciences/Psychology/Behavior/Habits"
    ],
    [
      "plos",
      "/Social sciences/Psychology/Cognitive psychology/Academic skills"
    ],
    [
      "plos",
      "/Social sciences/Psychology/Cognitive psychology/Learning/Human learning"
    ],
    [
      "plos",
      "/Social sciences/Sociology/Communications/Social communication/Social media"
    ],
    [
      "plos",
      "/Social sciences/Sociology/Social networks/Social media"
    ]
  ],
  "openalex": "W7215029829",
  "pdf_url": "https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0359301&type=printable",
  "pmcid": null,
  "pmid": null,
  "published": "2026-10-01",
  "publisher": "Public Library of Science",
  "ris": "https://research.draconitic.com/paper/6s33h1a4k3n2x.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:17:37Z",
      "native_id": "10.1371/journal.pone.0359301",
      "source": "plos",
      "url": "https://doi.org/10.1371/journal.pone.0359301"
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  "subjects": [
    {
      "field": "biology",
      "origin": "plos:neuroscience",
      "subfield": "neuroscience"
    }
  ],
  "title": "Impact of social media platforms excessive use on students performance in higher education institutions: A mathematical model approach",
  "title_text": "Impact of social media platforms excessive use on students performance in higher education institutions: A mathematical model approach",
  "type": "peer-reviewed",
  "updated_at": "2026-10-30T12:17:37Z",
  "url": "https://research.draconitic.com/paper/6s33h1a4k3n2x",
  "venue": "PLOS One",
  "versions": []
}